Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations.
Yu-Shan TaiChieh-Fang TengCheng-Yang ChangAn-Yeu WuPublished in: CoRR (2021)
Keyphrases
- dimension reduction
- convolutional neural network
- linear projection
- feature selection
- face detection
- principal component analysis
- random projections
- high dimensional problems
- feature extraction
- high dimensional data
- data mining and machine learning
- high dimensional
- singular value decomposition
- manifold learning
- low dimensional
- linear discriminant analysis
- unsupervised learning
- variable selection
- partial least squares
- neural network
- high dimensionality
- manifold embedding
- cluster analysis
- projection matrix
- feature space
- discriminative information
- high dimensional data analysis
- dimensionality reduction
- least squares
- image data
- preprocessing step
- preprocessing
- semi supervised
- object detection
- data analysis
- object recognition
- dimension reduction methods